Balancing expressiveness and simplicity in an interlingua for task based dialogue

Authors:
Lori Levin;Donna Gates;Dorcas Wallace;Kay Peterson;Alon Lavie;Fabio Pianesi;Emanuele Pianta;Roldano Cattoni;Nadia Mana
Affiliations:
Carnegie Mellon University, Pittsburgh, PA;Carnegie Mellon University, Pittsburgh, PA;Carnegie Mellon University, Pittsburgh, PA;Carnegie Mellon University, Pittsburgh, PA;Carnegie Mellon University, Pittsburgh, PA;IRST-itc, Italy;IRST-itc, Italy;IRST-itc, Italy;IRST-itc, Italy
Venue:
S2S '02 Proceedings of the ACL-02 workshop on Speech-to-speech translation: algorithms and systems - Volume 7
Year:
2002

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Abstract

In this paper we compare two interlingua representations for speech translation. The basis of this paper is a distributional analysis of the C-STAR II and NESPOLE databases tagged with interlingua representations. The C-STAR II database has been partially re-tagged with the NESPOLE interlingua, which enables us to make comparisons on the same data with two types of interlinguas and on two types of data (C-STAR II and NESPOLE) with the same interlingua. The distributional information presented in this paper show that the NESPOLE interlingua maintains the language-independence and simplicity of the C-STAR II speech-act-based approach, while increasing semantic expressiveness and scalability.